Boost Customer Insights with Smart AI Survey Kiosk
AI-powered survey kiosk for physical locations — uses camera insights and interactive interfaces to boost customer feedback response rates
| What is it | AI-powered survey kiosk for physical locations — uses camera insights and interactive interfaces to boost customer feedback response rates |
|---|---|
| Pricing | Unknown |
| Platform | Mobile App |
| API | Yes |
| Best for | Collecting customer feedback in physical stores, Measuring customer satisfaction across multiple locations |
| Domain registered | 2021 |
Data updated Aug. 1, 2026
What does Boost Customer Insights with Smart AI Survey Kiosk do?
HYOUKA is an AI-powered survey kiosk designed specifically for physical locations like retail stores, hotels, and event venues. It transforms traditional customer feedback collection by using interactive interfaces, AI camera insights, and gesture-based interaction to make surveys engaging rather than tedious. The system captures demographic information through its camera in a privacy-protecting manner while allowing businesses to target specific questions to different customer segments.
What sets HYOUKA apart is its focus on reducing survey fatigue through fun, interactive elements while providing smart data collection. The platform works offline, storing results locally until internet connection is available, making it ideal for locations with spotty connectivity. Its dashboard automatically identifies performance trends, best/worst performing times, and provides filtering tools to discover patterns in customer feedback without requiring advanced analytical skills.
HYOUKA benefits retail chains needing to compare satisfaction across locations, hotels seeking to improve guest experiences, and event organizers wanting immediate attendee feedback. Real-world implementations have shown significant response rate improvements—one small cafe reported 400 responses in three months—demonstrating how HYOUKA's engaging approach drives higher participation than traditional feedback methods.
Key features
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